Prevalence of New-Onset Tinnitus after COVID-19 Vaccination with Comparison to Other Vaccinations.

OBJECTIVE: To investigate how often patients are diagnosed with new-onset tinnitus within 21 days after COVID-19 vaccination in comparison to after three other common vaccinations: influenza, Tdap (tetanus, diphtheria, and acellular pertussis), and polysaccharide pneumococcus. METHODS: The TriNetX Analytics Network, a federated health research network that aggregates the de-identified electronic health record (EHR) data of over 78 million patients, was queried for patients receiving each vaccination. Instances of new-onset tinnitus within 21 days of vaccination were recorded and reported. RESULTS: Out of 2,575,235 patients receiving a first dose of the mRNA COVID-19 vaccine without any prior tinnitus diagnosis, 0.038% (95% CI: 0.036%-0.041%) of patients had a new diagnosis of tinnitus within 21 days. There was a higher risk of a new tinnitus diagnosis after the influenza vaccine (RR: 1.95, 95% CI: 1.72-2.21), Tdap vaccine (RR: 2.36, 95% CI: 1.93-2.89), and pneumococcal vaccine (RR: 1.97, 95% CI: 1.48-2.64) than after the first dose of the COVID-19 vaccine. There was a lower risk of a new tinnitus diagnosis after the second dose of COVID-19 than after the first dose (RR: 0.80, 95% CI: 0.71-0.91). CONCLUSION: The rate of newly diagnosed tinnitus acutely after the first dose of the COVID-19 vaccine is very low. There was a higher risk of newly diagnosed tinnitus after influenza, Tdap, and pneumococcal vaccinations than after the COVID-19 vaccine. The present findings can help to address COVID-19 vaccine hesitancy during the ongoing pandemic. LEVEL OF EVIDENCE: Level 3 Laryngoscope, 2022.

Risk and Severity of COVID-19 Infection in Monoclonal Gammopathy of Undetermined Significance: A 3-Year Propensity Matched Cohort Study

Introduction Monoclonal gammopathy of undetermined significance (MGUS) is a premalignant disorder causing monoclonal plasma cell proliferation in bone marrow. This population is at risk of developing multiple myeloma (MM) and severe viral infections;risk factors of severe COVID-19 infection. Using TriNetX, a global platform providing data of 120 million patients, we aimed to quantify the risk and severity of COVID-19 in MGUS patients. Patients and Methods A retrospective cohort analysis was performed using the TriNetX Global Collaborative Network. From January 20, 2020, to January 20, 2023, we identified a cohort of 58,859 MGUS patients and compared to non-MGUS patients, determined by relevant ICD-10-CM/LOINC codes. After 1:1 propensity score-matching, we identified COVID-19 cases to quantify risk and identified patients who had been hospitalized, ventilated/intubated, and deceased to quantify severity. Measures of association and Kaplan-Meier analysis were conducted. Results After propensity-score matching, there were 58,668 patients in both cohorts. MGUS patients were found to be at a reduced risk of contracting COVID-19 (RR 0.88, 95%CI 0.85-0.91). MGUS patients with COVID-19 showed higher mortality risk and decreased survival time compared to the general population (HR 1.14, 95%CI 1.01-1.27). MGUS patients with COVID-19 who were hospitalized exhibited significantly decreased survival time (log-rank test, p=0.04). Conclusion As COVID-19 remains a looming health concern, especially amongst vulnerable populations, our analysis emphasizes the need for adequate vaccination and treatment regimens as well as an understanding of the severity of infection in MGUS patients and justification for precautionary measures. Micro- Monoclonal gammopathy of undetermined significance (MGUS) is a premalignant plasma cell dyscrasia which may progress to multiple myeloma and cause susceptibility to severe viral infection. However, the relationship between MGUS and COVID-19 is not well understood. This study quantifies the risk and severity of COVID-19 in MGUS patients. We found a decreased risk of infection but increased severity and mortality, pronounced in hospitalized patients.

Temporal association of new onset alcohol use disorder following SARS-CoV-2 infection from 2020-2022

OBJECTIVES/GOALS: During the pandemic, alcohol related deaths increased by 25%. To help understand how we might mitigate this negative outcome, we sought to examine the association of new diagnosis of alcohol use disorder (AUD) with SARS-CoV2 through two years of the pandemic. METHODS/STUDY POPULATION: Using a non-date-shifted TriNetX database, we conducted a retrospective cohort analysis of electronic health records of patients age ≥12 years who had been diagnosed either with COVID-19 (n=1,359,817) or other respiratory infections with no record of COVID-19 (n=2,013,031). Patients were then matched for propensity score risk for AUD, and results were analyzed by three-month intervals from January 2020 through January 2022, in blocks numbered 1-8. Results were expressed as hazard ratios (HR) and 95% confidence intervals (CI) for diagnosis of AUD from two weeks to six months following COVID-19 diagnosis. RESULTS/ANTICIPATED RESULTS: There was significant excess risk compared to control cohorts of AUD following COVID-19 diagnoses made during the first three months of the pandemic (HR (CI)): block 1: 2.41(1.89,3.08);no excess risk was seen for the remainder of 2020 (blocks 2-4) (HR1.01-1.14, NS). The excess risk increased again in 2021 as the delta and omicron variants emerged (HR and 95% CI): block 5 were: 1.26(1.11, 1.43));block 6: 1.88(1.62-2.18));block 7: 1.24(1.10,1.41);block 8: 1.12(1.0-1.25). COVID-19 diagnosis was associated with clinically-evident AUD under some pandemic circumstances. DISCUSSION/SIGNIFICANCE: COVID-19 early in the pandemic (block 1) was associated with substantial excess risk for new diagnosis of AUD, with smaller excess risk after COVID-19 during 2021 (blocks 5-7), and no excess risk otherwise. Diagnosis of COVID-19 and pandemic contextual factors are associated with increased risk for AUD.

Risk of New Retinal Vascular Occlusion After mRNA COVID-19 Vaccination Within Aggregated Electronic Health Record Data.

Importance: New-onset retinal vascular occlusion (RVO) occurring acutely after messenger RNA (mRNA) COVID-19 vaccination has been described in recent literature. Because RVO can cause vision loss or blindness, an epidemiologic investigation evaluating this potential association is of great importance to public health. Objective: To investigate how often patients are diagnosed with new RVO acutely after the mRNA COVID-19 vaccine compared with influenza and tetanus, diphtheria, pertussis (Tdap) vaccines. Design, Setting, and Participants: A retrospective population-based cohort design using the TriNetX Analytics platform, a federated, aggregated electronic health record (EHR) research network containing the deidentified EHR data of more than 103 million patients, was used to examine aggregate EHR data. Data were collected and analyzed on October 20, 2022. Data on patients within the TriNetX Analytics platform were searched for the presence of vaccination Common Procedural Technology codes, and instances of newly diagnosed RVO within 21 days of vaccination were recorded and reported. Propensity score matching based on demographic characteristics (age, sex, race and ethnicity) and comorbidities (diabetes, hypertension, and hyperlipidemia) was performed between vaccination groups for evaluation of relative risks (RRs). Main Outcomes and Measures: The appearance of a new-encounter diagnosis of RVO within 21 days of the mRNA COVID-19 vaccination was the primary outcome. Historical comparison cohorts of patients receiving influenza and Tdap vaccinations allowed for evaluation of the RRs for RVO. Results: Of 3 108 829 patients (mean [SD] age at vaccination, 50.7 [20.4] years; 56.4% women) who received the mRNA COVID-19 vaccine, 104 (0.003%; 95% CI, 0.003%-0.004%) patients had a new diagnosis of RVO within 21 days of vaccination. After propensity score matching, the RR for new RVO diagnosis after the first dose of COVID-19 vaccination was not significantly different from that after influenza (RR, 0.74; 95% CI, 0.54-1.01) or Tdap (RR, 0.78; 95% CI, 0.44-1.38) vaccinations, but was greater when compared with the second dose of the COVID-19 vaccination (RR, 2.25; 95% CI, 1.33-3.81). Conclusions and Relevance: The findings of this study suggest that RVO diagnosed acutely after mRNA COVID-19 vaccination occurs extremely rarely at rates similar to those of 2 different historically used vaccinations, the influenza and Tdap vaccines. No evidence suggesting an association between the mRNA COVID-19 vaccination and newly diagnosed RVO was found.

Cardiovascular outcomes after tixagevimab and cilgavimab use for pre-exposure prophylaxis against COVID-19: a population-based propensity-matched cohort study.

Tixagevimab and cilgavimab treatment was associated with higher rates of cardiovascular events in a post-hoc analysis of a phase 3 trial. In this large population-based propensity-matched study, we found no increased risk of cardiovascular events up to 90 days after tixagevimab and cilgavimab administration, including in patients with pre-existing cardiovascular disease.

COVID-19 breakthrough infections and hospitalizations among vaccinated patients with dementia in the United States between December 2020 and August 2021.

INTRODUCTION: There is lack of data on COVID-19 breakthrough infections in vaccinated patients with dementia in the United States. METHODS: This is a retrospective cohort study of 262,847 vaccinated older adults (age 73.8 ± 6.81 years old) between December 2020 and August 2021. RESULTS: Among the fully vaccinated patients with dementia, the overall risk of COVID-19 breakthrough infections ranged from 8.6% to 12.4%. Patients with dementia were at increased risk for breakthrough infections compared with patients without dementia, with the highest odds for patients with Lewy body dementia (LBD) (adjusted odds ratio or AOR: 3.06, 95% confidence interval or CI [1.45 to 6.66]), followed by vascular dementia (VD) (AOR: 1.99, 95% CI [1.42 to 2.80]), Alzheimer's disease (AD) (1.53, 95% CI [1.22 to 1.92]), and mild cognitive impairment (MCI) (AOR: 1.78, 95% CI [1.51 to 2.11]). The incidence rate of breakthrough infections among fully vaccinated patients with dementia increased since December 2020 and accelerated after May 2021. The overall risk for hospitalization after breakthrough infections in patients with dementia was 39.5% for AD, 46.2% for VD, and 30.4% for MCI. DISCUSSION: These results highlight the need to continuously monitor breakthrough severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infections and outcomes in vaccinated patients with dementia.

Association of COVID-19 with New-Onset Alzheimer's Disease.

An infectious etiology of Alzheimer's disease has been postulated for decades. It remains unknown whether SARS-CoV-2 viral infection is associated with increased risk for Alzheimer's disease. In this retrospective cohort study of 6,245,282 older adults (age ≥65 years) who had medical encounters between 2/2020-5/2021, we show that people with COVID-19 were at significantly increased risk for new diagnosis of Alzheimer's disease within 360 days after the initial COVID-19 diagnosis (hazard ratio or HR:1.69, 95% CI: 1.53-1.72), especially in people age ≥85 years and in women. Our findings call for research to understand the underlying mechanisms and for continuous surveillance of long-term impacts of COVID-19 on Alzheimer's disease.

Association of Recent SARS-CoV-2 Infection With New-Onset Alcohol Use Disorder, January 2020 Through January 2022.

Importance: The COVID-19 pandemic affects many diseases, including alcohol use disorders (AUDs). As the pandemic evolves, understanding the association of a new diagnosis of AUD with COVID-19 over time is required to mitigate negative consequences. Objective: To examine the association of COVID-19 infection with new diagnosis of AUD over time from January 2020 through January 2022. Design, Setting, and Participants: In this retrospective cohort study of electronic health records of US patients 12 years of age or older, new diagnoses of AUD were compared between patients with COVID-19 and patients with other respiratory infections who had never had COVID-19 by 3-month intervals from January 20, 2020, through January 27, 2022. Exposures: SARS-CoV-2 infection or non-SARS-CoV-2 respiratory infection. Main Outcomes and Measures: New diagnoses of AUD were compared in COVID-19 and propensity score-matched control cohorts by hazard ratios (HRs) and 95% CIs from either 14 days to 3 months or 3 to 6 months after the index event. Results: This study comprised 1 201 082 patients with COVID-19 (56.9% female patients; 65.7% White; mean [SD] age at index, 46.2 [18.9] years) and 1 620 100 patients with other respiratory infections who had never had COVID-19 (60.4% female patients; 71.1% White; mean [SD] age at index, 44.5 [20.6] years). There was a significantly increased risk of a new diagnosis of AUD in the 3 months after COVID-19 was contracted during the first 3 months of the pandemic (block 1) compared with control cohorts (HR, 2.53 [95% CI, 1.82-3.51]), but the risk decreased to nonsignificance in the next 3 time blocks (April 2020 to January 2021). The risk for AUD diagnosis increased after infection in January to April 2021 (HR, 1.30 [95% CI, 1.08-1.56]) and April to July 2021 (HR, 1.80 [95% CI, 1.47-2.21]). The result became nonsignificant again in blocks 7 and 8 (COVID-19 diagnosis between July 2021 and January 2022). A similar temporal pattern was seen for new diagnosis of AUD 3 to 6 months after infection with COVID-19 vs control index events. Conclusions and Relevance: Elevated risk for AUD after COVID-19 infection compared with non-COVID-19 respiratory infections during some time frames may suggest an association of SARS-CoV-2 infection with the pandemic-associated increase in AUD. However, the lack of excess hazard in most time blocks makes it likely that the circumstances surrounding the pandemic and the fear and anxiety they created also were important factors associated with new diagnoses of AUD.

Did the COVID-19 pandemic lead to increased pediatric musculoskeletal nonaccidental trauma? A cross-sectional study.

Lockdowns due to COVID-19 increased known risk factors for nonaccidental trauma (NAT), including economic instability and parental stress. We sought to evaluate potential changes in the frequency and types of fractures associated with NAT during the COVID-19 pandemic. A retrospective cross-sectional study was conducted using de-identified data obtained from the IBM Watson Health Explorys Cohort Discovery database. Systematized Nomenclature of Medicine-Clinical Terms were used to query the database for victims of NAT in 2019 and 2020. Within this cohort of patients, we then identified those who were also diagnosed with a fracture within 21 days of the NAT event. Demographic data were compared between 2019 and 2020 where possible using chi-squared testing, and relative risks for various fracture diagnoses were calculated with 95% confidence intervals. There were 9500 records overall of pediatric NAT in 2019 compared to 9350 in 2020. Of those, in 2019 550 were associated with a diagnosis of fracture versus 570 in 2020. The relative risk of fracture due to NAT in 2020 when compared to 2019 was not significantly higher [relative risk, 1.05 (95% confidence interval, 0.94-1.17)]. The relative risk for each category of fracture diagnosis in 2020 was slightly higher, but not to a statistically significant degree. Despite increasing known risk factors, the frequency of NAT remained unchanged as the result of the COVID-19 pandemic. We also did not identify significant changes in the risk of fracture due to NAT, nor any changes in the associated types of fractures.

Association of COVID-19 with endocarditis in patients with cocaine or opioid use disorders in the US.

The incidence of endocarditis in the US is increasing, driven in part by the rise in intravenous drug use, mostly opioids and stimulant drugs (cocaine and methamphetamine). Recent reports have documented that individuals with COVID-19 are at increased risk for cardiovascular diseases. However, it is unknown whether COVID-19 is associated with increased risk for endocarditis in patients with opioid or stimulant use disorders. This is a retrospective cohort study based on a nationwide database of electronic health records (EHRs) of 109 million patients in the US, including 736,502 patients with a diagnosis of opioid use disorder (OUD) and 379,623 patients with a diagnosis of cocaine use disorder (CocaineUD). Since Metamphetamine use disorder is not coded we could not analyze it. We show that the incidence rate of endocarditis among patients with OUD or CocaineUD significantly increased from 2011 to 2022 with acceleration during 2021-2022. COVID-19 was associated with increased risk of new diagnosis of endocarditis among patients with OUD (HR: 2.23, 95% CI: 1.92-2.60) and with CocaineUD (HR: 2.24, 95% CI: 1.79-2.80). Clinically diagnosed COVID-19 was associated with higher risk of endocarditis than lab-test confirmed COVID-19 without clinical diagnosis. Hospitalization within 2 weeks following COVID-19 infection was associated with increased risk of new diagnosis of endocarditis. The risk for endocarditis did not differ between patients with and without EHR-recorded vaccination. There were significant racial and ethnic differences in the risk for COVID-19 associated endocarditis, lower in blacks than in whites and lower in Hispanics than in non-Hispanics. Among patients with OUD or CocaineUD, the 180-day hospitalization risk following endocarditis was 67.5% in patients with COVID-19, compared to 58.7% in matched patients without COVID-19 (HR: 1.21, 95% CI: 1.07-1.35). The 180-day mortality risk following the new diagnosis of endocarditis was 9.2% in patients with COVID-19, compared to 8.0% in matched patients without COVID-19 (HR: 1.16, 95% CI: 0.83-1.61). This study shows that COVID-19 is associated with significantly increased risk for endocarditis in patients with opioid or cocaine use disorders. These results highlight the need for endocarditis screening and for linkage to infectious disease and addiction treatment in patients with opioid or cocaine use disorders who contracted COVID-19. Future studies are needed to understand how COVID-19 damages the heart and the vascular endothelium among people who misuse opioids or cocaine (presumably also methamphetamines).

COVID-19 breakthrough infections, hospitalizations and mortality in fully vaccinated patients with hematologic malignancies: A clarion call for maintaining mitigation and ramping-up research.

There has been limited data presented to characterize and quantify breakthrough SARS-CoV-2 infections, hospitalizations, and mortality in vaccinated patients with hematologic malignancies (HM). We performed a retrospective cohort study of patient electronic health records of 514,413 fully vaccinated patients from 63 healthcare organizations in the US, including 5956 with HM and 508,457 without malignancies during the period from December 2020 to October 2021. The breakthrough SARS-CoV-2 infections in patients with HM steadily increased and reached 67.7 cases per 1000 persons in October 2021. The cumulative risk of breakthrough infections during the period in patients with HM was 13.4%, ranging from 11.0% for acute lymphocytic leukemia to 17.2% and 17.4% for multiple myeloma and chronic myeloid leukemia respectively, all higher than the risk of 4.5% in patients without malignancies (p < 0.001). No significant racial disparities in breakthrough infections were observed. The overall hospitalization risk was 37.8% for patients with HM who had breakthrough infections, significantly higher than 2.2% for those who had no breakthrough infections (hazard ratio or HR: 34.49, 95% CI: 25.93-45.87). The overall mortality risk was 5.7% for patients with HM who had breakthrough infections, significantly higher than the 0.8% for those who had no breakthrough infections (HR: 10.25, 95% CI: 5.94-17.69). In summary, this study shows that among the fully vaccinated population, patients with HM had significantly higher risk for breakthrough infections compared to patients without cancer and that breakthrough infections in patients with HM were associated with significant clinical outcomes including hospitalizations and mortality.

The Cosmos Collaborative: A Vendor-Facilitated Electronic Health Record Data Aggregation Platform.

OBJECTIVE: Learning healthcare systems use routinely collected data to generate new evidence that informs future practice. While implementing an electronic health record (EHR) system can facilitate this goal for individual institutions, meaningfully aggregating data from multiple institutions can be more empowering. Cosmos is a cross-institution, single EHR vendor-facilitated data aggregation tool. This work aims to describe the initiative and illustrate its potential utility through several use cases. METHODS: Cosmos is designed to scale rapidly by leveraging preexisting agreements, clinical health information exchange networks, and data standards. Data are stored centrally as a limited dataset, but the customer facing query tool limits results to prevent patient reidentification. RESULTS: In 2 years, Cosmos grew to contain EHR data of more than 60 million patients. We present practical examples illustrating how Cosmos could further efforts in chronic disease surveillance (asthma and obesity), syndromic surveillance (seasonal influenza and the 2019 novel coronavirus), immunization adherence and adverse event reporting (human papilloma virus and measles, mumps, rubella, and varicella vaccination), and health services research (antibiotic usage for upper respiratory infection). DISCUSSION: A low barrier of entry for Cosmos allows for the rapid accumulation of multi-institutional and mostly de-duplicated EHR data to power research and quality improvement queries characteristic of learning healthcare systems. Limitations are being vendor-specific, an "all or none" contribution model, and the lack of control over queries run on an institution's healthcare data. CONCLUSION: Cosmos provides a model for within-vendor data standardization and aggregation and a steppingstone for broader intervendor interoperability.

Breakthrough SARS-CoV-2 Infections, Hospitalizations, and Mortality in Vaccinated Patients With Cancer in the US Between December 2020 and November 2021.

Importance: Limited data have been presented to examine breakthrough SARS-CoV-2 infections, hospitalizations, and mortality in vaccinated patients with cancer in the US. Objectives: To examine the risk of breakthrough SARS-CoV-2 infection, hospitalizations, and mortality in vaccinated patients with cancer between December 2020 and November 2021. Design, Setting, and Participants: Retrospective cohort study of electronic health records (EHRs) of vaccinated patients from a multicenter and nationwide database in the US during the period of December 2020 through November 2021. The study population comprised patients who had documented evidence of vaccination (2 doses of Moderna or Pfizer-BioNTech or single dose of Janssen/Johnson & Johnson vaccines) in their EHRs from December 2020 to November 2021 and had no SARS-CoV-2 infection prior to vaccination. Exposures: The 12 most common cancers combined and separately; recent vs no recent encounter for cancer; and breakthrough SARS-CoV-2 infection. Main Outcomes and Measures: Time trends of incidence proportions of breakthrough SARS-CoV-2 infections from December 2020 to November 2021 in vaccinated patients with all cancer; cumulative risks of breakthrough infections in vaccinated patients for all cancer and 12 common cancer types; hazard ratios (HRs) and 95% CIs of breakthrough infections between propensity score-matched patients with vs without cancer and between propensity score-matched patients with cancer who had a recent medical encounter for cancer vs those who did not; overall risks, HRs, and 95% CIs of hospitalizations and mortality in patients with cancer who had breakthrough infections vs those who did not. Results: Among 45 253 vaccinated patients with cancer (mean [SD] age, 68.7 [12.4] years), 53.5% were female, 3.8% were Asian individuals, 15.4% were Black individuals, 4.9% were Hispanic individuals, and 74.1% were White individuals. Breakthrough SARS-CoV-2 infections in patients with cancer increased from December 2020 to November 2021 and reached 52.1 new cases per 1000 persons in November 2021. The cumulative risk of breakthrough infections in patients with all cancer was 13.6%, with highest risk for pancreatic (24.7%), liver (22.8%), lung (20.4%), and colorectal (17.5%) cancers, and lowest risk for thyroid (10.3%), endometrial (11.9%), and breast (11.9%) cancers, vs 4.9% in the noncancer population (P < .001). Patients with cancer had significantly increased risk for breakthrough infections vs patients without cancer (HR, 1.24; 95% CI, 1.19-1.29), with greatest risk for liver (HR, 1.78; 95% CI, 1.38-2.29), lung (HR, 1.73; 95% CI, 1.50-1.99), pancreatic (HR, 1.64; 95% CI, 1.24-2.18), and colorectal (HR, 1.53; 95% CI, 1.32-1.77) cancers and lowest risk for thyroid (HR, 1.07; 95% CI, 0.88-1.30) and skin (HR, 1.17; 95% CI, 0.99-1.38) cancers. Patients who had medical encounters for cancer within the past year had higher risk for breakthrough infections than those who did not (HR, 1.24; 95% CI, 1.18-1.31). Among patients with cancer, the overall risk for hospitalizations and mortality was 31.6% and 3.9%, respectively, in patients with breakthrough infections, vs 6.7% and 1.3% in those without breakthrough infections (HR for hospitalization: 13.48; 95% CI, 11.42-15.91; HR for mortality: 6.76; 95% CI, 4.97-9.20). Conclusions and Relevance: This cohort study showed significantly increased risks for breakthrough infection in vaccinated patients with cancer, especially those undergoing active cancer care, with marked heterogeneity among specific cancer types. Breakthrough infections in patients with cancer were associated with significant and substantial risks for hospitalizations and mortality.